Pandas Profiling Report

Dataset statistics

Number of variables	25
Number of observations	23921
Missing cells	126580
Missing cells (%)	21.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	4.4 MiB
Average record size in memory	193.0 B

Variable types

Categorical	9
Numeric	14
Boolean	2

Alerts

`date` has a high cardinality: 5550 distinct values	High cardinality
`home_team` has a high cardinality: 211 distinct values	High cardinality
`away_team` has a high cardinality: 211 distinct values	High cardinality
`tournament` has a high cardinality: 82 distinct values	High cardinality
`city` has a high cardinality: 1576 distinct values	High cardinality
`country` has a high cardinality: 217 distinct values	High cardinality
`home_team_fifa_rank` is highly correlated with `away_team_fifa_rank` and 6 other fields	High correlation
`away_team_fifa_rank` is highly correlated with `home_team_fifa_rank` and 6 other fields	High correlation
`home_team_total_fifa_points` is highly correlated with `home_team_fifa_rank` and 5 other fields	High correlation
`away_team_total_fifa_points` is highly correlated with `away_team_fifa_rank` and 6 other fields	High correlation
`home_team_goalkeeper_score` is highly correlated with `home_team_fifa_rank` and 4 other fields	High correlation
`away_team_goalkeeper_score` is highly correlated with `away_team_fifa_rank` and 4 other fields	High correlation
`home_team_mean_defense_score` is highly correlated with `home_team_fifa_rank` and 4 other fields	High correlation
`home_team_mean_offense_score` is highly correlated with `home_team_fifa_rank` and 4 other fields	High correlation
`home_team_mean_midfield_score` is highly correlated with `home_team_fifa_rank` and 5 other fields	High correlation
`away_team_mean_defense_score` is highly correlated with `away_team_fifa_rank` and 4 other fields	High correlation
`away_team_mean_offense_score` is highly correlated with `away_team_fifa_rank` and 4 other fields	High correlation
`away_team_mean_midfield_score` is highly correlated with `away_team_fifa_rank` and 4 other fields	High correlation
`away_team_continent` is highly correlated with `home_team_continent` and 1 other fields	High correlation
`tournament` is highly correlated with `home_team_continent` and 6 other fields	High correlation
`home_team_continent` is highly correlated with `away_team_continent` and 1 other fields	High correlation
`neutral_location` is highly correlated with `tournament`	High correlation
`away_team_score` is highly correlated with `home_team_result`	High correlation
`home_team_result` is highly correlated with `away_team_score`	High correlation
`home_team_goalkeeper_score` has 15542 (65.0%) missing values	Missing
`away_team_goalkeeper_score` has 15826 (66.2%) missing values	Missing
`home_team_mean_defense_score` has 16134 (67.4%) missing values	Missing
`home_team_mean_offense_score` has 15411 (64.4%) missing values	Missing
`home_team_mean_midfield_score` has 15759 (65.9%) missing values	Missing
`away_team_mean_defense_score` has 16357 (68.4%) missing values	Missing
`away_team_mean_offense_score` has 15609 (65.3%) missing values	Missing
`away_team_mean_midfield_score` has 15942 (66.6%) missing values	Missing
`home_team_total_fifa_points` has 14290 (59.7%) zeros	Zeros
`away_team_total_fifa_points` has 14288 (59.7%) zeros	Zeros
`home_team_score` has 6273 (26.2%) zeros	Zeros
`away_team_score` has 9558 (40.0%) zeros	Zeros

Reproduction

Analysis started	2022-10-09 15:05:18.916817
Analysis finished	2022-10-09 15:05:50.122228
Duration	31.21 seconds
Software version	pandas-profiling v3.3.0
Download configuration	config.json

date
Categorical

HIGH CARDINALITY

Distinct	5550
Distinct (%)	23.2%
Missing	0
Missing (%)	0.0%
Memory size	187.0 KiB

2012-02-29	66
2016-03-29	59
2008-03-26	59
2014-03-05	57
2022-03-29	55
Other values (5545)	23625

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	239210
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1934 ?
Unique (%)	8.1%

Sample

1st row	1993-08-08
2nd row	1993-08-08
3rd row	1993-08-08
4th row	1993-08-08
5th row	1993-08-08

Common Values

Value	Count	Frequency (%)
2012-02-29	66	0.3%
2016-03-29	59	0.2%
2008-03-26	59	0.2%
2014-03-05	57	0.2%
2022-03-29	55	0.2%
2012-11-14	55	0.2%
2011-10-11	54	0.2%
2011-11-11	54	0.2%
2011-11-15	53	0.2%
2011-09-02	52	0.2%
Other values (5540)	23357	97.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2012-02-29	66	0.3%
2008-03-26	59	0.2%
2016-03-29	59	0.2%
2014-03-05	57	0.2%
2012-11-14	55	0.2%
2022-03-29	55	0.2%
2011-10-11	54	0.2%
2011-11-11	54	0.2%
2011-11-15	53	0.2%
2011-09-02	52	0.2%
Other values (5540)	23357	97.6%

Most occurring characters

Value	Count	Frequency (%)
0	60867	25.4%
-	47842	20.0%
1	38674	16.2%
2	35093	14.7%
9	15929	6.7%
6	9098	3.8%
3	7542	3.2%
7	6383	2.7%
8	6307	2.6%
5	5981	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	191368	80.0%
Dash Punctuation	47842	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	60867	31.8%
1	38674	20.2%
2	35093	18.3%
9	15929	8.3%
6	9098	4.8%
3	7542	3.9%
7	6383	3.3%
8	6307	3.3%
5	5981	3.1%
4	5494	2.9%

Dash Punctuation

Value	Count	Frequency (%)
-	47842	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	239210	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	60867	25.4%
-	47842	20.0%
1	38674	16.2%
2	35093	14.7%
9	15929	6.7%
6	9098	3.8%
3	7542	3.2%
7	6383	2.7%
8	6307	2.6%
5	5981	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	239210	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	60867	25.4%
-	47842	20.0%
1	38674	16.2%
2	35093	14.7%
9	15929	6.7%
6	9098	3.8%
3	7542	3.2%
7	6383	2.7%
8	6307	2.6%
5	5981	2.5%

home_team
Categorical

HIGH CARDINALITY

Distinct	211
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	187.0 KiB

Mexico	316
USA	314
Japan	280
Saudi Arabia	272
Korea Republic	249
Other values (206)	22490

Length

Max length	30
Median length	22
Mean length	8.101793403
Min length	3

Characters and Unicode

Total characters	193803
Distinct characters	60
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Bolivia
2nd row	Brazil
3rd row	Ecuador
4th row	Guinea
5th row	Paraguay

Common Values

Value	Count	Frequency (%)
Mexico	316	1.3%
USA	314	1.3%
Japan	280	1.2%
Saudi Arabia	272	1.1%
Korea Republic	249	1.0%
Qatar	249	1.0%
Oman	241	1.0%
United Arab Emirates	239	1.0%
Brazil	233	1.0%
South Africa	229	1.0%
Other values (201)	21299	89.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
republic	714	2.4%
and	500	1.7%
korea	323	1.1%
mexico	316	1.1%
usa	314	1.1%
ireland	291	1.0%
japan	280	0.9%
arabia	272	0.9%
saudi	272	0.9%
islands	267	0.9%
Other values (236)	25994	88.0%

Most occurring characters

Value	Count	Frequency (%)
a	29866	15.4%
i	15905	8.2%
n	14851	7.7%
e	12723	6.6%
r	11585	6.0%
o	10169	5.2%
l	7550	3.9%
u	6692	3.5%
t	6654	3.4%
d	6305	3.3%
Other values (50)	71503	36.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	157625	81.3%
Uppercase Letter	30186	15.6%
Space Separator	5622	2.9%
Other Punctuation	313	0.2%
Dash Punctuation	57	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	29866	18.9%
i	15905	10.1%
n	14851	9.4%
e	12723	8.1%
r	11585	7.3%
o	10169	6.5%
l	7550	4.8%
u	6692	4.2%
t	6654	4.2%
d	6305	4.0%
Other values (21)	35325	22.4%

Uppercase Letter

Value	Count	Frequency (%)
S	3193	10.6%
A	2539	8.4%
C	2249	7.5%
M	2076	6.9%
B	2007	6.6%
I	1977	6.5%
R	1940	6.4%
E	1466	4.9%
T	1430	4.7%
G	1420	4.7%
Other values (15)	9889	32.8%

Other Punctuation

Value	Count	Frequency (%)
.	159	50.8%
'	154	49.2%

Space Separator

Value	Count	Frequency (%)
	5622	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	57	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	187811	96.9%
Common	5992	3.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	29866	15.9%
i	15905	8.5%
n	14851	7.9%
e	12723	6.8%
r	11585	6.2%
o	10169	5.4%
l	7550	4.0%
u	6692	3.6%
t	6654	3.5%
d	6305	3.4%
Other values (46)	65511	34.9%

Common

Value	Count	Frequency (%)
	5622	93.8%
.	159	2.7%
'	154	2.6%
-	57	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	193565	99.9%
None	238	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	29866	15.4%
i	15905	8.2%
n	14851	7.7%
e	12723	6.6%
r	11585	6.0%
o	10169	5.3%
l	7550	3.9%
u	6692	3.5%
t	6654	3.4%
d	6305	3.3%
Other values (45)	71265	36.8%

None

Value	Count	Frequency (%)
ô	154	64.7%
ç	33	13.9%
ã	17	7.1%
é	17	7.1%
í	17	7.1%

away_team
Categorical

HIGH CARDINALITY

Distinct	211
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	187.0 KiB

Zambia	243
Costa Rica	217
Paraguay	216
Sweden	206
Mexico	201
Other values (206)	22838

Length

Max length	30
Median length	22
Mean length	8.126959575
Min length	3

Characters and Unicode

Total characters	194405
Distinct characters	60
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Uruguay
2nd row	Mexico
3rd row	Venezuela
4th row	Sierra Leone
5th row	Argentina

Common Values

Value	Count	Frequency (%)
Zambia	243	1.0%
Costa Rica	217	0.9%
Paraguay	216	0.9%
Sweden	206	0.9%
Mexico	201	0.8%
Brazil	200	0.8%
Jamaica	199	0.8%
Saudi Arabia	199	0.8%
Iraq	199	0.8%
Ghana	198	0.8%
Other values (201)	21843	91.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
republic	641	2.2%
and	511	1.7%
korea	331	1.1%
islands	284	1.0%
ireland	252	0.9%
zambia	243	0.8%
guinea	241	0.8%
congo	229	0.8%
costa	217	0.7%
rica	217	0.7%
Other values (236)	26234	89.2%

Most occurring characters

Value	Count	Frequency (%)
a	30129	15.5%
i	16256	8.4%
n	14765	7.6%
e	13309	6.8%
r	11382	5.9%
o	10235	5.3%
l	7532	3.9%
u	7045	3.6%
t	6392	3.3%
d	6135	3.2%
Other values (50)	71225	36.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	158602	81.6%
Uppercase Letter	29877	15.4%
Space Separator	5479	2.8%
Other Punctuation	354	0.2%
Dash Punctuation	93	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	30129	19.0%
i	16256	10.2%
n	14765	9.3%
e	13309	8.4%
r	11382	7.2%
o	10235	6.5%
l	7532	4.7%
u	7045	4.4%
t	6392	4.0%
d	6135	3.9%
Other values (21)	35422	22.3%

Uppercase Letter

Value	Count	Frequency (%)
S	3129	10.5%
C	2507	8.4%
A	2064	6.9%
B	2041	6.8%
M	1979	6.6%
I	1902	6.4%
R	1881	6.3%
P	1536	5.1%
G	1534	5.1%
T	1449	4.8%
Other values (15)	9855	33.0%

Other Punctuation

Value	Count	Frequency (%)
'	182	51.4%
.	172	48.6%

Space Separator

Value	Count	Frequency (%)
	5479	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	93	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	188479	97.0%
Common	5926	3.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	30129	16.0%
i	16256	8.6%
n	14765	7.8%
e	13309	7.1%
r	11382	6.0%
o	10235	5.4%
l	7532	4.0%
u	7045	3.7%
t	6392	3.4%
d	6135	3.3%
Other values (46)	65299	34.6%

Common

Value	Count	Frequency (%)
	5479	92.5%
'	182	3.1%
.	172	2.9%
-	93	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	194113	99.8%
None	292	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	30129	15.5%
i	16256	8.4%
n	14765	7.6%
e	13309	6.9%
r	11382	5.9%
o	10235	5.3%
l	7532	3.9%
u	7045	3.6%
t	6392	3.3%
d	6135	3.2%
Other values (45)	70933	36.5%

None

Value	Count	Frequency (%)
ô	182	62.3%
ç	35	12.0%
ã	25	8.6%
é	25	8.6%
í	25	8.6%

home_team_continent
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	187.0 KiB

Europe	7593
Africa	5885
Asia	5302
North America	2772
South America	1839

Length

Max length	13
Median length	6
Mean length	6.92818026
Min length	4

Characters and Unicode

Total characters	165729
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	South America
2nd row	South America
3rd row	South America
4th row	Africa
5th row	South America

Common Values

Value	Count	Frequency (%)
Europe	7593	31.7%
Africa	5885	24.6%
Asia	5302	22.2%
North America	2772	11.6%
South America	1839	7.7%
Oceania	530	2.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
europe	7593	26.6%
africa	5885	20.6%
asia	5302	18.6%
america	4611	16.2%
north	2772	9.7%
south	1839	6.4%
oceania	530	1.9%

Most occurring characters

Value	Count	Frequency (%)
r	20861	12.6%
a	16858	10.2%
i	16328	9.9%
A	15798	9.5%
e	12734	7.7%
o	12204	7.4%
c	11026	6.7%
u	9432	5.7%
E	7593	4.6%
p	7593	4.6%
Other values (10)	35302	21.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	132586	80.0%
Uppercase Letter	28532	17.2%
Space Separator	4611	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	20861	15.7%
a	16858	12.7%
i	16328	12.3%
e	12734	9.6%
o	12204	9.2%
c	11026	8.3%
u	9432	7.1%
p	7593	5.7%
f	5885	4.4%
s	5302	4.0%
Other values (4)	14363	10.8%

Uppercase Letter

Value	Count	Frequency (%)
A	15798	55.4%
E	7593	26.6%
N	2772	9.7%
S	1839	6.4%
O	530	1.9%

Space Separator

Value	Count	Frequency (%)
	4611	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	161118	97.2%
Common	4611	2.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	20861	12.9%
a	16858	10.5%
i	16328	10.1%
A	15798	9.8%
e	12734	7.9%
o	12204	7.6%
c	11026	6.8%
u	9432	5.9%
E	7593	4.7%
p	7593	4.7%
Other values (9)	30691	19.0%

Common

Value	Count	Frequency (%)
	4611	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	165729	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	20861	12.6%
a	16858	10.2%
i	16328	9.9%
A	15798	9.5%
e	12734	7.7%
o	12204	7.4%
c	11026	6.7%
u	9432	5.7%
E	7593	4.6%
p	7593	4.6%
Other values (10)	35302	21.3%

away_team_continent
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	187.0 KiB

Europe	7359
Africa	6306
Asia	4817
North America	2703
South America	2161

Length

Max length	13
Median length	6
Mean length	7.044646963
Min length	4

Characters and Unicode

Total characters	168515
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	South America
2nd row	North America
3rd row	South America
4th row	Africa
5th row	South America

Common Values

Value	Count	Frequency (%)
Europe	7359	30.8%
Africa	6306	26.4%
Asia	4817	20.1%
North America	2703	11.3%
South America	2161	9.0%
Oceania	575	2.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
europe	7359	25.6%
africa	6306	21.9%
america	4864	16.9%
asia	4817	16.7%
north	2703	9.4%
south	2161	7.5%
oceania	575	2.0%

Most occurring characters

Value	Count	Frequency (%)
r	21232	12.6%
a	17137	10.2%
i	16562	9.8%
A	15987	9.5%
e	12798	7.6%
o	12223	7.3%
c	11745	7.0%
u	9520	5.6%
E	7359	4.4%
p	7359	4.4%
Other values (10)	36593	21.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	134866	80.0%
Uppercase Letter	28785	17.1%
Space Separator	4864	2.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	21232	15.7%
a	17137	12.7%
i	16562	12.3%
e	12798	9.5%
o	12223	9.1%
c	11745	8.7%
u	9520	7.1%
p	7359	5.5%
f	6306	4.7%
t	4864	3.6%
Other values (4)	15120	11.2%

Uppercase Letter

Value	Count	Frequency (%)
A	15987	55.5%
E	7359	25.6%
N	2703	9.4%
S	2161	7.5%
O	575	2.0%

Space Separator

Value	Count	Frequency (%)
	4864	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	163651	97.1%
Common	4864	2.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	21232	13.0%
a	17137	10.5%
i	16562	10.1%
A	15987	9.8%
e	12798	7.8%
o	12223	7.5%
c	11745	7.2%
u	9520	5.8%
E	7359	4.5%
p	7359	4.5%
Other values (9)	31729	19.4%

Common

Value	Count	Frequency (%)
	4864	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	168515	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	21232	12.6%
a	17137	10.2%
i	16562	9.8%
A	15987	9.5%
e	12798	7.6%
o	12223	7.3%
c	11745	7.0%
u	9520	5.6%
E	7359	4.4%
p	7359	4.4%
Other values (10)	36593	21.7%

home_team_fifa_rank
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	211
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	77.85468835

Minimum	1
Maximum	211
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	187.0 KiB

Quantile statistics

Minimum	1
5-th percentile	7
Q1	33
median	71
Q3	115
95-th percentile	174
Maximum	211
Range	210
Interquartile range (IQR)	82

Descriptive statistics

Standard deviation	52.35522517
Coefficient of variation (CV)	0.6724736337
Kurtosis	-0.7546146622
Mean	77.85468835
Median Absolute Deviation (MAD)	41
Skewness	0.4514227146
Sum	1862362
Variance	2741.069603
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
22	214	0.9%
3	209	0.9%
29	203	0.8%
5	198	0.8%
11	198	0.8%
10	198	0.8%
1	198	0.8%
4	197	0.8%
34	197	0.8%
12	197	0.8%
Other values (201)	21912	91.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	198	0.8%
2	187	0.8%
3	209	0.9%
4	197	0.8%
5	198	0.8%
6	183	0.8%
7	178	0.7%
8	196	0.8%
9	177	0.7%
10	198	0.8%

Value	Count	Frequency (%)
211	6	< 0.1%
210	12	0.1%
209	11	< 0.1%
208	8	< 0.1%
207	11	< 0.1%
206	15	0.1%
205	14	0.1%
204	21	0.1%
203	43	0.2%
202	23	0.1%

away_team_fifa_rank
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	211
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	80.79737469

Minimum	1
Maximum	211
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	187.0 KiB

Quantile statistics

Minimum	1
5-th percentile	7
Q1	36
median	73
Q3	119
95-th percentile	179
Maximum	211
Range	210
Interquartile range (IQR)	83

Descriptive statistics

Standard deviation	53.23290188
Coefficient of variation (CV)	0.6588444499
Kurtosis	-0.7663150753
Mean	80.79737469
Median Absolute Deviation (MAD)	41
Skewness	0.4438615419
Sum	1932754
Variance	2833.741843
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	195	0.8%
29	189	0.8%
14	188	0.8%
38	184	0.8%
18	183	0.8%
4	182	0.8%
55	182	0.8%
36	182	0.8%
37	182	0.8%
27	180	0.8%
Other values (201)	22074	92.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	195	0.8%
2	180	0.8%
3	151	0.6%
4	182	0.8%
5	174	0.7%
6	168	0.7%
7	175	0.7%
8	157	0.7%
9	136	0.6%
10	157	0.7%

Value	Count	Frequency (%)
211	5	< 0.1%
210	13	0.1%
209	12	0.1%
208	8	< 0.1%
207	17	0.1%
206	19	0.1%
205	19	0.1%
204	19	0.1%
203	39	0.2%
202	48	0.2%

home_team_total_fifa_points
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	1686
Distinct (%)	7.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	323.4014882

Minimum	0
Maximum	2164
Zeros	14290
Zeros (%)	59.7%
Negative	0
Negative (%)	0.0%
Memory size	187.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	547
95-th percentile	1439
Maximum	2164
Range	2164
Interquartile range (IQR)	547

Descriptive statistics

Standard deviation	500.8257245
Coefficient of variation (CV)	1.548619109
Kurtosis	0.4078698977
Mean	323.4014882
Median Absolute Deviation (MAD)	0
Skewness	1.348462631
Sum	7736087
Variance	250826.4064
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	14290	59.7%
260	27	0.1%
1174	22	0.1%
369	20	0.1%
340	19	0.1%
924	19	0.1%
228	19	0.1%
323	19	0.1%
389	18	0.1%
374	18	0.1%
Other values (1676)	9450	39.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	14290	59.7%
1	2	< 0.1%
2	2	< 0.1%
3	1	< 0.1%
4	6	< 0.1%
5	7	< 0.1%
6	2	< 0.1%
7	2	< 0.1%
8	4	< 0.1%
9	2	< 0.1%

Value	Count	Frequency (%)
2164	2	< 0.1%
2160	2	< 0.1%
2124	2	< 0.1%
2036	2	< 0.1%
2017	1	< 0.1%
1998	1	< 0.1%
1955	2	< 0.1%
1832	2	< 0.1%
1828	1	< 0.1%
1827	2	< 0.1%

away_team_total_fifa_points
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	1679
Distinct (%)	7.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	315.4535764

Minimum	0
Maximum	2164
Zeros	14288
Zeros (%)	59.7%
Negative	0
Negative (%)	0.0%
Memory size	187.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	523
95-th percentile	1416
Maximum	2164
Range	2164
Interquartile range (IQR)	523

Descriptive statistics

Standard deviation	490.9442731
Coefficient of variation (CV)	1.556312275
Kurtosis	0.4746270007
Mean	315.4535764
Median Absolute Deviation (MAD)	0
Skewness	1.366652059
Sum	7545965
Variance	241026.2793
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	14288	59.7%
551	18	0.1%
374	18	0.1%
298	18	0.1%
316	17	0.1%
255	17	0.1%
332	17	0.1%
329	17	0.1%
1378	17	0.1%
338	17	0.1%
Other values (1669)	9477	39.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	14288	59.7%
1	4	< 0.1%
2	3	< 0.1%
3	1	< 0.1%
4	11	< 0.1%
5	12	0.1%
6	3	< 0.1%
7	5	< 0.1%
8	2	< 0.1%
9	2	< 0.1%

Value	Count	Frequency (%)
2164	1	< 0.1%
2124	2	< 0.1%
2104	1	< 0.1%
2099	4	< 0.1%
2087	1	< 0.1%
2041	1	< 0.1%
2036	2	< 0.1%
2014	1	< 0.1%
1832	4	< 0.1%
1828	1	< 0.1%

home_team_score
Real number (ℝ_≥0)

ZEROS

Distinct	21
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.609213662

Minimum	0
Maximum	31
Zeros	6273
Zeros (%)	26.2%
Negative	0
Negative (%)	0.0%
Memory size	187.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	5
Maximum	31
Range	31
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.630126712
Coefficient of variation (CV)	1.01299582
Kurtosis	12.8072405
Mean	1.609213662
Median Absolute Deviation (MAD)	1
Skewness	2.210624947
Sum	38494
Variance	2.657313098
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
1	7229	30.2%
0	6273	26.2%
2	5263	22.0%
3	2613	10.9%
4	1330	5.6%
5	583	2.4%
6	292	1.2%
7	142	0.6%
8	84	0.4%
9	43	0.2%
Other values (11)	69	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6273	26.2%
1	7229	30.2%
2	5263	22.0%
3	2613	10.9%
4	1330	5.6%
5	583	2.4%
6	292	1.2%
7	142	0.6%
8	84	0.4%
9	43	0.2%

Value	Count	Frequency (%)
31	1	< 0.1%
22	1	< 0.1%
19	2	< 0.1%
17	2	< 0.1%
16	3	< 0.1%
15	3	< 0.1%
14	6	< 0.1%
13	6	< 0.1%
12	9	< 0.1%
11	12	0.1%

away_team_score
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	18
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.068266377

Minimum	0
Maximum	21
Zeros	9558
Zeros (%)	40.0%
Negative	0
Negative (%)	0.0%
Memory size	187.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	3
Maximum	21
Range	21
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.263944313
Coefficient of variation (CV)	1.183173355
Kurtosis	10.92452874
Mean	1.068266377
Median Absolute Deviation (MAD)	1
Skewness	2.187963747
Sum	25554
Variance	1.597555226
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
0	9558	40.0%
1	7759	32.4%
2	4013	16.8%
3	1551	6.5%
4	594	2.5%
5	214	0.9%
6	107	0.4%
7	67	0.3%
8	27	0.1%
10	11	< 0.1%
Other values (8)	20	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	9558	40.0%
1	7759	32.4%
2	4013	16.8%
3	1551	6.5%
4	594	2.5%
5	214	0.9%
6	107	0.4%
7	67	0.3%
8	27	0.1%
9	9	< 0.1%

Value	Count	Frequency (%)
21	1	< 0.1%
17	1	< 0.1%
15	2	< 0.1%
14	1	< 0.1%
13	1	< 0.1%
12	2	< 0.1%
11	3	< 0.1%
10	11	< 0.1%
9	9	< 0.1%
8	27	0.1%

tournament
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	82
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	187.0 KiB

Friendly	8558
FIFA World Cup qualification	5528
UEFA Euro qualification	1723
African Cup of Nations qualification	1274
AFC Asian Cup qualification	541
Other values (77)	6297

Length

Max length	42
Median length	37
Mean length	17.90719452
Min length	7

Characters and Unicode

Total characters	428358
Distinct characters	54
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	FIFA World Cup qualification
2nd row	Friendly
3rd row	FIFA World Cup qualification
4th row	Friendly
5th row	FIFA World Cup qualification

Common Values

Value	Count	Frequency (%)
Friendly	8558	35.8%
FIFA World Cup qualification	5528	23.1%
UEFA Euro qualification	1723	7.2%
African Cup of Nations qualification	1274	5.3%
AFC Asian Cup qualification	541	2.3%
African Cup of Nations	490	2.0%
FIFA World Cup	432	1.8%
UEFA Nations League	415	1.7%
COSAFA Cup	309	1.3%
CECAFA Cup	308	1.3%
Other values (72)	4343	18.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
cup	11350	18.5%
qualification	9647	15.7%
friendly	8558	14.0%
world	5960	9.7%
fifa	5960	9.7%
nations	2763	4.5%
uefa	2391	3.9%
african	2053	3.4%
euro	1976	3.2%
of	1767	2.9%
Other values (89)	8833	14.4%

Most occurring characters

Value	Count	Frequency (%)
i	46515	10.9%
	37337	8.7%
a	29604	6.9%
n	26838	6.3%
F	26533	6.2%
l	25607	6.0%
o	24292	5.7%
u	24223	5.7%
r	20428	4.8%
C	16274	3.8%
Other values (44)	150707	35.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	306531	71.6%
Uppercase Letter	84387	19.7%
Space Separator	37337	8.7%
Other Punctuation	98	< 0.1%
Dash Punctuation	5	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	46515	15.2%
a	29604	9.7%
n	26838	8.8%
l	25607	8.4%
o	24292	7.9%
u	24223	7.9%
r	20428	6.7%
d	15188	5.0%
f	13897	4.5%
p	13355	4.4%
Other values (18)	66584	21.7%

Uppercase Letter

Value	Count	Frequency (%)
F	26533	31.4%
C	16274	19.3%
A	15106	17.9%
I	6145	7.3%
W	6081	7.2%
E	4815	5.7%
N	3205	3.8%
U	2972	3.5%
O	630	0.7%
G	617	0.7%
Other values (12)	2009	2.4%

Dash Punctuation

Value	Count	Frequency (%)
-	4	80.0%
–	1	20.0%

Space Separator

Value	Count	Frequency (%)
	37337	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	98	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	390918	91.3%
Common	37440	8.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	46515	11.9%
a	29604	7.6%
n	26838	6.9%
F	26533	6.8%
l	25607	6.6%
o	24292	6.2%
u	24223	6.2%
r	20428	5.2%
C	16274	4.2%
d	15188	3.9%
Other values (40)	135416	34.6%

Common

Value	Count	Frequency (%)
	37337	99.7%
'	98	0.3%
-	4	< 0.1%
–	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	427968	99.9%
None	389	0.1%
Punctuation	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	46515	10.9%
	37337	8.7%
a	29604	6.9%
n	26838	6.3%
F	26533	6.2%
l	25607	6.0%
o	24292	5.7%
u	24223	5.7%
r	20428	4.8%
C	16274	3.8%
Other values (40)	150317	35.1%

None

Value	Count	Frequency (%)
é	304	78.1%
í	77	19.8%
á	8	2.1%

Punctuation

Value	Count	Frequency (%)
–	1	100.0%

city
Categorical

HIGH CARDINALITY

Distinct	1576
Distinct (%)	6.6%
Missing	0
Missing (%)	0.0%
Memory size	187.0 KiB

Doha	397
Bangkok	215
Muscat	212
Kuwait City	202
Abu Dhabi	191
Other values (1571)	22704

Length

Max length	28
Median length	24
Mean length	7.723840977
Min length	2

Characters and Unicode

Total characters	184762
Distinct characters	122
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	5 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	474 ?
Unique (%)	2.0%

Sample

1st row	La Paz
2nd row	Maceió
3rd row	Quito
4th row	Conakry
5th row	Asunción

Common Values

Value	Count	Frequency (%)
Doha	397	1.7%
Bangkok	215	0.9%
Muscat	212	0.9%
Kuwait City	202	0.8%
Abu Dhabi	191	0.8%
London	185	0.8%
Amman	180	0.8%
Cairo	164	0.7%
Dubai	162	0.7%
Tehran	161	0.7%
Other values (1566)	21852	91.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
city	527	1.9%
san	435	1.5%
doha	397	1.4%
port	241	0.8%
bangkok	215	0.8%
muscat	212	0.7%
kuwait	203	0.7%
abu	191	0.7%
dhabi	191	0.7%
london	187	0.7%
Other values (1715)	25660	90.2%

Most occurring characters

Value	Count	Frequency (%)
a	25514	13.8%
n	12597	6.8%
o	12492	6.8%
i	12241	6.6%
e	11368	6.2%
r	10010	5.4%
u	7653	4.1%
l	7455	4.0%
t	7391	4.0%
s	7128	3.9%
Other values (112)	70913	38.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	150864	81.7%
Uppercase Letter	28402	15.4%
Space Separator	4538	2.5%
Dash Punctuation	530	0.3%
Other Punctuation	417	0.2%
Initial Punctuation	6	< 0.1%
Decimal Number	5	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	25514	16.9%
n	12597	8.3%
o	12492	8.3%
i	12241	8.1%
e	11368	7.5%
r	10010	6.6%
u	7653	5.1%
l	7455	4.9%
t	7391	4.9%
s	7128	4.7%
Other values (66)	37015	24.5%

Uppercase Letter

Value	Count	Frequency (%)
S	3091	10.9%
B	2573	9.1%
A	2400	8.5%
C	2114	7.4%
M	2033	7.2%
D	1937	6.8%
L	1929	6.8%
P	1894	6.7%
K	1600	5.6%
T	1470	5.2%
Other values (29)	7361	25.9%

Other Punctuation

Value	Count	Frequency (%)
'	251	60.2%
.	162	38.8%
/	4	1.0%

Space Separator

Value	Count	Frequency (%)
	4538	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	530	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	6	100.0%

Decimal Number

Value	Count	Frequency (%)
6	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	179266	97.0%
Common	5496	3.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	25514	14.2%
n	12597	7.0%
o	12492	7.0%
i	12241	6.8%
e	11368	6.3%
r	10010	5.6%
u	7653	4.3%
l	7455	4.2%
t	7391	4.1%
s	7128	4.0%
Other values (105)	65417	36.5%

Common

Value	Count	Frequency (%)
	4538	82.6%
-	530	9.6%
'	251	4.6%
.	162	2.9%
‘	6	0.1%
6	5	0.1%
/	4	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	182789	98.9%
None	1954	1.1%
Latin Ext Additional	7	< 0.1%
IPA Ext	6	< 0.1%
Punctuation	6	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	25514	14.0%
n	12597	6.9%
o	12492	6.8%
i	12241	6.7%
e	11368	6.2%
r	10010	5.5%
u	7653	4.2%
l	7455	4.1%
t	7391	4.0%
s	7128	3.9%
Other values (48)	68940	37.7%

None

Value	Count	Frequency (%)
é	522	26.7%
ó	297	15.2%
í	185	9.5%
è	104	5.3%
ș	97	5.0%
ă	85	4.4%
á	72	3.7%
ã	63	3.2%
à	59	3.0%
ò	57	2.9%
Other values (47)	413	21.1%

IPA Ext

Value	Count	Frequency (%)
ə	6	100.0%

Punctuation

Value	Count	Frequency (%)
‘	6	100.0%

Latin Ext Additional

Value	Count	Frequency (%)
ị	2	28.6%
ả	2	28.6%
ộ	1	14.3%
ầ	1	14.3%
ủ	1	14.3%

country
Categorical

HIGH CARDINALITY

Distinct	217
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	187.0 KiB

USA	1003
South Africa	505
United Arab Emirates	462
Qatar	461
France	445
Other values (212)	21045

Length

Max length	30
Median length	22
Mean length	8.085238911
Min length	3

Characters and Unicode

Total characters	193407
Distinct characters	60
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Bolivia
2nd row	Brazil
3rd row	Ecuador
4th row	Guinea
5th row	Paraguay

Common Values

Value	Count	Frequency (%)
USA	1003	4.2%
South Africa	505	2.1%
United Arab Emirates	462	1.9%
Qatar	461	1.9%
France	445	1.9%
Germany	285	1.2%
Saudi Arabia	280	1.2%
Thailand	280	1.2%
Japan	277	1.2%
England	277	1.2%
Other values (207)	19646	82.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
usa	1003	3.4%
republic	658	2.2%
south	513	1.7%
and	509	1.7%
africa	505	1.7%
united	462	1.5%
arab	462	1.5%
emirates	462	1.5%
qatar	461	1.5%
france	445	1.5%
Other values (244)	24377	81.6%

Most occurring characters

Value	Count	Frequency (%)
a	29504	15.3%
i	15481	8.0%
n	14874	7.7%
e	12133	6.3%
r	11936	6.2%
o	9474	4.9%
t	7232	3.7%
l	7079	3.7%
u	6744	3.5%
d	6303	3.3%
Other values (50)	72647	37.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	155498	80.4%
Uppercase Letter	31703	16.4%
Space Separator	5936	3.1%
Other Punctuation	243	0.1%
Dash Punctuation	27	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	29504	19.0%
i	15481	10.0%
n	14874	9.6%
e	12133	7.8%
r	11936	7.7%
o	9474	6.1%
t	7232	4.7%
l	7079	4.6%
u	6744	4.3%
d	6303	4.1%
Other values (21)	34738	22.3%

Uppercase Letter

Value	Count	Frequency (%)
S	3941	12.4%
A	3577	11.3%
U	2006	6.3%
C	1924	6.1%
M	1879	5.9%
R	1800	5.7%
B	1795	5.7%
E	1723	5.4%
I	1701	5.4%
T	1556	4.9%
Other values (15)	9801	30.9%

Other Punctuation

Value	Count	Frequency (%)
.	151	62.1%
'	92	37.9%

Space Separator

Value	Count	Frequency (%)
	5936	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	27	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	187201	96.8%
Common	6206	3.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	29504	15.8%
i	15481	8.3%
n	14874	7.9%
e	12133	6.5%
r	11936	6.4%
o	9474	5.1%
t	7232	3.9%
l	7079	3.8%
u	6744	3.6%
d	6303	3.4%
Other values (46)	66441	35.5%

Common

Value	Count	Frequency (%)
	5936	95.6%
.	151	2.4%
'	92	1.5%
-	27	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	193237	99.9%
None	170	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	29504	15.3%
i	15481	8.0%
n	14874	7.7%
e	12133	6.3%
r	11936	6.2%
o	9474	4.9%
t	7232	3.7%
l	7079	3.7%
u	6744	3.5%
d	6303	3.3%
Other values (45)	72477	37.5%

None

Value	Count	Frequency (%)
ô	92	54.1%
ç	31	18.2%
é	17	10.0%
ã	15	8.8%
í	15	8.8%

neutral_location
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	23.5 KiB

False	17947
True	5974

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	17947	75.0%
True	5974	25.0%

shoot_out
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	23.5 KiB

False	23589
True	332

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	23589	98.6%
True	332	1.4%

home_team_result
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	187.0 KiB

Win	11761
Lose	6771
Draw	5389

Length

Max length	4
Median length	4
Mean length	3.508339952
Min length	3

Characters and Unicode

Total characters	83923
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Win
2nd row	Draw
3rd row	Win
4th row	Win
5th row	Lose

Common Values

Value	Count	Frequency (%)
Win	11761	49.2%
Lose	6771	28.3%
Draw	5389	22.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
win	11761	49.2%
lose	6771	28.3%
draw	5389	22.5%

Most occurring characters

Value	Count	Frequency (%)
W	11761	14.0%
i	11761	14.0%
n	11761	14.0%
L	6771	8.1%
o	6771	8.1%
s	6771	8.1%
e	6771	8.1%
D	5389	6.4%
r	5389	6.4%
a	5389	6.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	60002	71.5%
Uppercase Letter	23921	28.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	11761	19.6%
n	11761	19.6%
o	6771	11.3%
s	6771	11.3%
e	6771	11.3%
r	5389	9.0%
a	5389	9.0%
w	5389	9.0%

Uppercase Letter

Value	Count	Frequency (%)
W	11761	49.2%
L	6771	28.3%
D	5389	22.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	83923	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
W	11761	14.0%
i	11761	14.0%
n	11761	14.0%
L	6771	8.1%
o	6771	8.1%
s	6771	8.1%
e	6771	8.1%
D	5389	6.4%
r	5389	6.4%
a	5389	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	83923	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
W	11761	14.0%
i	11761	14.0%
n	11761	14.0%
L	6771	8.1%
o	6771	8.1%
s	6771	8.1%
e	6771	8.1%
D	5389	6.4%
r	5389	6.4%
a	5389	6.4%

home_team_goalkeeper_score
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	50
Distinct (%)	0.6%
Missing	15542
Missing (%)	65.0%
Infinite	0
Infinite (%)	0.0%
Mean	74.96383817

Minimum	47
Maximum	97
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	187.0 KiB

Quantile statistics

Minimum	47
5-th percentile	61
Q1	70
median	75
Q3	81
95-th percentile	88
Maximum	97
Range	50
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	8.212242192
Coefficient of variation (CV)	0.1095493826
Kurtosis	0.1345376971
Mean	74.96383817
Median Absolute Deviation (MAD)	6
Skewness	-0.2847013488
Sum	628122
Variance	67.44092181
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
73	474	2.0%
74	441	1.8%
75	437	1.8%
76	420	1.8%
72	403	1.7%
77	374	1.6%
79	347	1.5%
81	344	1.4%
80	325	1.4%
82	324	1.4%
Other values (40)	4490	18.8%
(Missing)	15542	65.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
47	6	< 0.1%
48	7	< 0.1%
49	9	< 0.1%
50	12	0.1%
51	17	0.1%
52	30	0.1%
53	24	0.1%
54	20	0.1%
55	42	0.2%
56	32	0.1%

Value	Count	Frequency (%)
97	6	< 0.1%
95	19	0.1%
94	26	0.1%
93	31	0.1%
92	22	0.1%
91	51	0.2%
90	113	0.5%
89	120	0.5%
88	111	0.5%
87	145	0.6%

away_team_goalkeeper_score
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	50
Distinct (%)	0.6%
Missing	15826
Missing (%)	66.2%
Infinite	0
Infinite (%)	0.0%
Mean	74.21247684

Minimum	47
Maximum	97
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	187.0 KiB

Quantile statistics

Minimum	47
5-th percentile	61
Q1	69
median	74
Q3	80
95-th percentile	87
Maximum	97
Range	50
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	8.225919096
Coefficient of variation (CV)	0.110842805
Kurtosis	0.1394057478
Mean	74.21247684
Median Absolute Deviation (MAD)	6
Skewness	-0.2838054963
Sum	600750
Variance	67.66574498
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
75	473	2.0%
73	466	1.9%
72	424	1.8%
74	404	1.7%
76	365	1.5%
77	343	1.4%
69	340	1.4%
81	313	1.3%
78	311	1.3%
79	310	1.3%
Other values (40)	4346	18.2%
(Missing)	15826	66.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
47	6	< 0.1%
48	10	< 0.1%
49	10	< 0.1%
50	21	0.1%
51	21	0.1%
52	30	0.1%
53	23	0.1%
54	24	0.1%
55	47	0.2%
56	39	0.2%

Value	Count	Frequency (%)
97	5	< 0.1%
95	12	0.1%
94	14	0.1%
93	24	0.1%
92	16	0.1%
91	43	0.2%
90	87	0.4%
89	91	0.4%
88	97	0.4%
87	122	0.5%

home_team_mean_defense_score
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	127
Distinct (%)	1.6%
Missing	16134
Missing (%)	67.4%
Infinite	0
Infinite (%)	0.0%
Mean	74.903249

Minimum	52.8
Maximum	91.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	187.0 KiB

Quantile statistics

Minimum	52.8
5-th percentile	65
Q1	71
median	75.2
Q3	78.8
95-th percentile	85
Maximum	91.8
Range	39
Interquartile range (IQR)	7.8

Descriptive statistics

Standard deviation	6.003114482
Coefficient of variation (CV)	0.08014491443
Kurtosis	0.02149570954
Mean	74.903249
Median Absolute Deviation (MAD)	3.8
Skewness	-0.1065522626
Sum	583271.6
Variance	36.03738348
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
75.5	194	0.8%
77	182	0.8%
76	178	0.7%
76.5	177	0.7%
75.2	159	0.7%
78.2	150	0.6%
71.5	143	0.6%
77.8	142	0.6%
70.8	141	0.6%
74.2	140	0.6%
Other values (117)	6181	25.8%
(Missing)	16134	67.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
52.8	6	< 0.1%
56.5	11	< 0.1%
57.5	1	< 0.1%
57.8	8	< 0.1%
58.2	3	< 0.1%
58.5	16	0.1%
58.8	3	< 0.1%
59	8	< 0.1%
59.2	4	< 0.1%
59.5	10	< 0.1%

Value	Count	Frequency (%)
91.8	6	< 0.1%
90.5	4	< 0.1%
90.2	10	< 0.1%
89.5	11	< 0.1%
89	7	< 0.1%
88	21	0.1%
87.8	15	0.1%
87.5	43	0.2%
87.2	10	< 0.1%
87	22	0.1%

home_team_mean_offense_score
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	103
Distinct (%)	1.2%
Missing	15411
Missing (%)	64.4%
Infinite	0
Infinite (%)	0.0%
Mean	75.81874266

Minimum	53.3
Maximum	93
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	187.0 KiB

Quantile statistics

Minimum	53.3
5-th percentile	66
Q1	71.7
median	75.7
Q3	80
95-th percentile	86.7
Maximum	93
Range	39.7
Interquartile range (IQR)	8.3

Descriptive statistics

Standard deviation	6.26841591
Coefficient of variation (CV)	0.08267633689
Kurtosis	-0.05510707391
Mean	75.81874266
Median Absolute Deviation (MAD)	4.3
Skewness	0.01423465344
Sum	645217.5
Variance	39.29303802
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
76.3	229	1.0%
77.7	223	0.9%
72.7	218	0.9%
76.7	218	0.9%
71.3	218	0.9%
72.3	215	0.9%
74.7	197	0.8%
73.3	194	0.8%
73.7	184	0.8%
75.7	174	0.7%
Other values (93)	6440	26.9%
(Missing)	15411	64.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
53.3	4	< 0.1%
55	3	< 0.1%
57.7	6	< 0.1%
58	7	< 0.1%
58.3	4	< 0.1%
59	12	0.1%
59.3	3	< 0.1%
59.7	23	0.1%
60	14	0.1%
60.3	18	0.1%

Value	Count	Frequency (%)
93	13	0.1%
92.7	7	< 0.1%
92.3	13	0.1%
91	19	0.1%
90.7	6	< 0.1%
90.3	13	0.1%
90	25	0.1%
89.3	34	0.1%
89	12	0.1%
88.7	37	0.2%

home_team_mean_midfield_score
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	134
Distinct (%)	1.6%
Missing	15759
Missing (%)	65.9%
Infinite	0
Infinite (%)	0.0%
Mean	75.88929184

Minimum	54.2
Maximum	93.2
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	187.0 KiB

Quantile statistics

Minimum	54.2
5-th percentile	65
Q1	72.5
median	76.2
Q3	79.5
95-th percentile	86
Maximum	93.2
Range	39
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	6.053109555
Coefficient of variation (CV)	0.07976236711
Kurtosis	0.2554212993
Mean	75.88929184
Median Absolute Deviation (MAD)	3.4
Skewness	-0.2912718461
Sum	619408.4
Variance	36.64013529
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
76.2	243	1.0%
76.8	207	0.9%
75	192	0.8%
74.8	189	0.8%
78.2	188	0.8%
78.5	182	0.8%
75.2	169	0.7%
78	164	0.7%
79.2	158	0.7%
77.2	157	0.7%
Other values (124)	6313	26.4%
(Missing)	15759	65.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
54.2	2	< 0.1%
55.5	7	< 0.1%
56	1	< 0.1%
56.8	2	< 0.1%
57.2	7	< 0.1%
57.5	12	0.1%
57.8	8	< 0.1%
58	8	< 0.1%
58.2	3	< 0.1%
58.5	1	< 0.1%

Value	Count	Frequency (%)
93.2	7	< 0.1%
92	7	< 0.1%
91.2	4	< 0.1%
89.8	7	< 0.1%
89.5	14	0.1%
89.2	9	< 0.1%
89	19	0.1%
88.8	4	< 0.1%
88.5	24	0.1%
88.2	17	0.1%

away_team_mean_defense_score
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	127
Distinct (%)	1.7%
Missing	16357
Missing (%)	68.4%
Infinite	0
Infinite (%)	0.0%
Mean	74.42437864

Minimum	52.8
Maximum	91.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	187.0 KiB

Quantile statistics

Minimum	52.8
5-th percentile	64.8
Q1	70.5
median	74.5
Q3	78.2
95-th percentile	84.8
Maximum	91.8
Range	39
Interquartile range (IQR)	7.7

Descriptive statistics

Standard deviation	5.937425305
Coefficient of variation (CV)	0.07977796273
Kurtosis	0.02034776311
Mean	74.42437864
Median Absolute Deviation (MAD)	3.7
Skewness	-0.04461795013
Sum	562946
Variance	35.25301925
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
75.5	175	0.7%
77	167	0.7%
76	162	0.7%
74.5	157	0.7%
75.2	157	0.7%
76.5	152	0.6%
70.8	151	0.6%
74.2	148	0.6%
71.5	138	0.6%
78.2	136	0.6%
Other values (117)	6021	25.2%
(Missing)	16357	68.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
52.8	7	< 0.1%
56.5	8	< 0.1%
57.5	4	< 0.1%
57.8	5	< 0.1%
58.2	4	< 0.1%
58.5	12	0.1%
58.8	6	< 0.1%
59	10	< 0.1%
59.2	1	< 0.1%
59.5	13	0.1%

Value	Count	Frequency (%)
91.8	5	< 0.1%
90.5	7	< 0.1%
90.2	7	< 0.1%
89.5	3	< 0.1%
89	10	< 0.1%
88	17	0.1%
87.8	16	0.1%
87.5	30	0.1%
87.2	10	< 0.1%
87	21	0.1%

away_team_mean_offense_score
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	103
Distinct (%)	1.2%
Missing	15609
Missing (%)	65.3%
Infinite	0
Infinite (%)	0.0%
Mean	75.42001925

Minimum	53.3
Maximum	93
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	187.0 KiB

Quantile statistics

Minimum	53.3
5-th percentile	65.7
Q1	71.3
median	75.3
Q3	79.7
95-th percentile	86
Maximum	93
Range	39.7
Interquartile range (IQR)	8.4

Descriptive statistics

Standard deviation	6.201905739
Coefficient of variation (CV)	0.08223155869
Kurtosis	-0.05994827244
Mean	75.42001925
Median Absolute Deviation (MAD)	4
Skewness	-0.006600849852
Sum	626891.2
Variance	38.4636348
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
72.3	238	1.0%
71.3	234	1.0%
72.7	213	0.9%
76.7	206	0.9%
76.3	203	0.8%
77.7	200	0.8%
73	192	0.8%
70.7	184	0.8%
75.3	180	0.8%
74.7	178	0.7%
Other values (93)	6284	26.3%
(Missing)	15609	65.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
53.3	4	< 0.1%
55	4	< 0.1%
57.7	7	< 0.1%
58	8	< 0.1%
58.3	3	< 0.1%
59	12	0.1%
59.3	5	< 0.1%
59.7	30	0.1%
60	6	< 0.1%
60.3	20	0.1%

Value	Count	Frequency (%)
93	8	< 0.1%
92.7	5	< 0.1%
92.3	15	0.1%
91	13	0.1%
90.7	6	< 0.1%
90.3	8	< 0.1%
90	13	0.1%
89.3	24	0.1%
89	15	0.1%
88.7	26	0.1%

away_team_mean_midfield_score
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	134
Distinct (%)	1.7%
Missing	15942
Missing (%)	66.6%
Infinite	0
Infinite (%)	0.0%
Mean	75.25914275

Minimum	54.2
Maximum	93.2
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	187.0 KiB

Quantile statistics

Minimum	54.2
5-th percentile	63.8
Q1	71.8
median	75.5
Q3	79
95-th percentile	85.5
Maximum	93.2
Range	39
Interquartile range (IQR)	7.2

Descriptive statistics

Standard deviation	6.124573345
Coefficient of variation (CV)	0.0813797915
Kurtosis	0.188041849
Mean	75.25914275
Median Absolute Deviation (MAD)	3.7
Skewness	-0.2751545753
Sum	600492.7
Variance	37.51039866
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
76.2	208	0.9%
75	196	0.8%
74.8	185	0.8%
78	169	0.7%
76.8	169	0.7%
78.5	168	0.7%
77.2	166	0.7%
78.2	165	0.7%
74.5	156	0.7%
75.2	155	0.6%
Other values (124)	6242	26.1%
(Missing)	15942	66.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
54.2	10	< 0.1%
55.5	6	< 0.1%
56	2	< 0.1%
56.8	3	< 0.1%
57.2	8	< 0.1%
57.5	7	< 0.1%
57.8	6	< 0.1%
58	6	< 0.1%
58.2	6	< 0.1%
58.5	1	< 0.1%

Value	Count	Frequency (%)
93.2	3	< 0.1%
92	5	< 0.1%
91.2	7	< 0.1%
89.8	10	< 0.1%
89.5	8	< 0.1%
89.2	5	< 0.1%
89	15	0.1%
88.8	2	< 0.1%
88.5	25	0.1%
88.2	8	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	date	home_team	away_team	home_team_continent	away_team_continent	home_team_fifa_rank	away_team_fifa_rank	home_team_score	away_team_score	tournament	city	country	neutral_location	shoot_out	home_team_result	home_team_goalkeeper_score	away_team_goalkeeper_score	home_team_mean_defense_score	home_team_mean_offense_score	home_team_mean_midfield_score	away_team_mean_defense_score	away_team_mean_offense_score	away_team_mean_midfield_score
0	1993-08-08	Bolivia	Uruguay	South America	South America	59	22	3	1	FIFA World Cup qualification	La Paz	Bolivia	False	No	Win	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	1993-08-08	Brazil	Mexico	South America	North America	8	14	1	1	Friendly	Maceió	Brazil	False	No	Draw	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	1993-08-08	Ecuador	Venezuela	South America	South America	35	94	5	0	FIFA World Cup qualification	Quito	Ecuador	False	No	Win	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
3	1993-08-08	Guinea	Sierra Leone	Africa	Africa	65	86	1	0	Friendly	Conakry	Guinea	False	No	Win	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
4	1993-08-08	Paraguay	Argentina	South America	South America	67	5	1	3	FIFA World Cup qualification	Asunción	Paraguay	False	No	Lose	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
5	1993-08-08	Peru	Colombia	South America	South America	70	19	0	1	FIFA World Cup qualification	Lima	Peru	False	No	Lose	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
6	1993-08-08	Zimbabwe	Eswatini	Africa	Africa	50	102	2	0	Friendly	Harare	Zimbabwe	False	No	Win	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7	1993-08-09	Guinea	Sierra Leone	Africa	Africa	65	86	4	0	Friendly	Conakry	Guinea	False	No	Win	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
8	1993-08-11	Faroe Islands	Norway	Europe	Europe	111	9	0	7	Friendly	Toftir	Faroe Islands	False	No	Lose	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
9	1993-08-11	Sweden	Switzerland	Europe	Europe	4	3	1	2	Friendly	Borås	Sweden	False	No	Lose	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Last rows

	date	home_team	away_team	home_team_continent	away_team_continent	home_team_fifa_rank	away_team_fifa_rank	home_team_total_fifa_points	away_team_total_fifa_points	home_team_score	away_team_score	tournament	city	country	neutral_location	shoot_out	home_team_result	home_team_goalkeeper_score	away_team_goalkeeper_score	home_team_mean_defense_score	home_team_mean_offense_score	home_team_mean_midfield_score	away_team_mean_defense_score	away_team_mean_offense_score	away_team_mean_midfield_score
23911	2022-06-14	Ukraine	Republic of Ireland	Europe	Europe	27	47	1535	1449	1	1	UEFA Nations League	Łódź	Poland	True	No	Draw	75.0	75.0	74.8	78.7	80.0	76.5	72.7	73.8
23912	2022-06-14	Bosnia and Herzegovina	Finland	Europe	Europe	59	57	1388	1406	3	2	UEFA Nations League	Zenica	Bosnia and Herzegovina	False	No	Win	76.0	83.0	74.2	77.0	78.0	70.0	72.3	73.5
23913	2022-06-14	Romania	Montenegro	Europe	Europe	48	70	1446	1342	0	3	UEFA Nations League	Bucharest	Romania	False	No	Lose	77.0	65.0	73.5	73.7	75.0	76.2	74.7	68.2
23914	2022-06-14	Luxembourg	Faroe Islands	Europe	Europe	94	124	1229	1137	2	2	UEFA Nations League	Luxembourg	Luxembourg	False	No	Draw	69.0	NaN	68.5	NaN	69.8	NaN	NaN	NaN
23915	2022-06-14	Turkey	Lithuania	Europe	Europe	43	138	1461	1092	2	0	UEFA Nations League	İzmir	Turkey	False	No	Win	79.0	71.0	78.2	76.7	78.2	NaN	NaN	NaN
23916	2022-06-14	Moldova	Andorra	Europe	Europe	180	153	932	1040	2	1	UEFA Nations League	Chișinău	Moldova	False	No	Win	65.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN
23917	2022-06-14	Liechtenstein	Latvia	Europe	Europe	192	135	895	1105	0	2	UEFA Nations League	Vaduz	Liechtenstein	False	No	Lose	NaN	65.0	NaN	NaN	NaN	NaN	NaN	NaN
23918	2022-06-14	Chile	Ghana	South America	Africa	28	60	1526	1387	0	0	Kirin Cup	Suita	Japan	True	Yes	Lose	79.0	74.0	75.5	76.7	78.2	75.5	76.0	78.2
23919	2022-06-14	Japan	Tunisia	Asia	Africa	23	35	1553	1499	0	3	Kirin Cup	Suita	Japan	False	No	Lose	73.0	NaN	75.2	75.0	77.5	70.8	72.3	74.0
23920	2022-06-14	Korea Republic	Egypt	Asia	Africa	29	32	1519	1500	4	1	Friendly	Seoul	Korea Republic	False	No	Win	75.0	NaN	73.0	80.0	73.8	NaN	79.3	70.8

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common